作者: Intentional 時間: 2025-3-21 23:04 作者: GUEER 時間: 2025-3-22 00:54 作者: institute 時間: 2025-3-22 05:36 作者: inflate 時間: 2025-3-22 10:10
Dynamics of Lipids in BiomembranesThe input to the natural language parser generation system NL PAGE is in the form of an annotated natural language text, which is used to generate a grammar and a lexicon. This paper describes the format of the text, a new grammar model that is used in the system, and the process of grammar induction.作者: 管理員 時間: 2025-3-22 14:09 作者: 管理員 時間: 2025-3-22 19:09
Grammar model and grammar induction in the system NL PAGE,The input to the natural language parser generation system NL PAGE is in the form of an annotated natural language text, which is used to generate a grammar and a lexicon. This paper describes the format of the text, a new grammar model that is used in the system, and the process of grammar induction.作者: atopic 時間: 2025-3-22 23:12
Applying grammatical inference in learning a language model for oral dialogue,We present an application of the ECGI algorithm to the learning of a language model for Speech Recognition. Results are given on a real dialogue corpus. Integrating this technique in a Speech Recognizer is discussed.作者: 多骨 時間: 2025-3-23 01:51
Grammatical Inference978-3-540-68707-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 占卜者 時間: 2025-3-23 07:01 作者: Sciatica 時間: 2025-3-23 19:47 作者: orthodox 時間: 2025-3-23 23:42 作者: 無孔 時間: 2025-3-24 06:09
Dietary Modulation of Lipid Rafts,othesis is consistent with all examples observed thus far. The algorithm is guaranteed to converge to a minimum state DFA corresponding to the target when the set of examples observed by the learner includes a . set. We prove the convergence of this algorithm and analyze its time and space complexities.作者: Gyrate 時間: 2025-3-24 09:18
Moshe Sheintuch,David S. A. Simakovta in the limit is proposed. Finally we also report some results aiming to reflect the evolution of the behavior of this algorithm for different values of . and . when it is used in a handwritten digits recognition task.作者: 偉大 時間: 2025-3-24 11:10
https://doi.org/10.1007/978-3-7091-5600-1ed the need of a proper music coding scheme. Different coding schemes are presented and compared according to results in Composition and Style Recognition. Results from previous studies have been improved.作者: MILK 時間: 2025-3-24 17:07 作者: Rejuvenate 時間: 2025-3-24 21:34 作者: 中古 時間: 2025-3-25 02:06 作者: electrolyte 時間: 2025-3-25 04:00
Learning regular grammars to model musical style: Comparing different coding schemes,ed the need of a proper music coding scheme. Different coding schemes are presented and compared according to results in Composition and Style Recognition. Results from previous studies have been improved.作者: 粗糙 時間: 2025-3-25 08:24
The Anatomy of Biological InterfacesIncorporating the suggestions made in De la Higuera, Vidal and Oncina [dOV96] for automata inference, the DD-OSTIA (Data Driven OSTIA) is presented here. The experiments show a great reduction of the size of the training set needed for obtaining good models.作者: 雪白 時間: 2025-3-25 14:47
Transmembrane Calcium Fluxes and Cell Deathations beyond the training set, in the language recognized by the extracted automaton, are due to the training regime: the network performs a “l(fā)oose” minimization of the . of the training set, the automaton that has a state for each prefix of the sentences in the set.作者: 惹人反感 時間: 2025-3-25 19:46
https://doi.org/10.1007/978-3-642-68077-9is now possible, although still very difficult, to build computational and formal models of how children learn language. This paper will review some recent developments in computational modeling of language acquisition and suggest how they might be extended to grammatical inference.作者: Scintigraphy 時間: 2025-3-25 23:02
Angelo Azzi,Lanfranco Masotti,Arnaldo Vecliup as one of the two winners in that competition. The second winning algorithm, first proposed by Rodney Price, implements a new evidence-driven heuristic for state merging. Our own version of this heuristic is also described in this paper and compared to SAGE.作者: 下邊深陷 時間: 2025-3-26 01:34 作者: audiologist 時間: 2025-3-26 06:19
Membrane Structure and Propertiesessibility and distinguishability of the target STs has been evaluated. As a general result, a decrease of the sample density has been found as these parameters increase, suggesting that accessibility and distinguishability are parameters as important as the number of states to evaluate learnability of STs.作者: decode 時間: 2025-3-26 12:00
Peter S. Linsley,Manjusri Das,C. Fred Foxe in the limit if structural information is presented. Furthermore, we give a definition of a characteristic structural set for any target grammar. Finally we present the conclusions of the work and some guidelines for future works.作者: geriatrician 時間: 2025-3-26 15:34
Meaning helps learning syntax,s an isomorphism applying to trees and allowing to automatically translate sentences into their semantic representation(s). Simple simulations of a learning algorithm are extensively developed and discussed.作者: 土坯 時間: 2025-3-26 19:56 作者: 性行為放縱者 時間: 2025-3-26 21:08 作者: 遠足 時間: 2025-3-27 01:51
Jonathan A. N. Fisher,Brian M. Salzbergn this paper we prove that although a polynomial identification with probability one is not always possible, a wide class of automata can successfully, and for this criterion, be identified. As the framework is new the problem leads to a variety of open problems.作者: obviate 時間: 2025-3-27 07:16 作者: 散布 時間: 2025-3-27 09:58 作者: 周興旺 時間: 2025-3-27 15:04 作者: 龍卷風 時間: 2025-3-27 21:40 作者: 巨頭 時間: 2025-3-27 22:21
Transducer-learning experiments on language understanding,cess based on lexical/phrase categorization. Successful experiments are presented on a task consisting in the “understanding” of Spanish natural-language sentences describing dates and times, where the target formal language is the one used in the popular Unix command “.”.作者: 因無茶而冷淡 時間: 2025-3-28 05:41
Grammatical inference in document recognition,aper documents are typographically tagged and then recognised. One of the current applications in this project is to extract the physical and the logical structures of a given set of paper documents and then reorganise them in a machine readable form like HTML code.作者: Ovulation 時間: 2025-3-28 10:21
How considering incompatible state mergings may reduce the DFA induction search tree,chieve better choices, i.e. to reduce the size of the search tree. Within this framework, we address the issue of learning the set of all minimal compatible DFA‘s. We propose a pruning criterion and experiment with several ordering criteria. The prefix order and a new entropy based criterion have exhibit the best results in our test sets.作者: 滴注 時間: 2025-3-28 11:16 作者: 艦旗 時間: 2025-3-28 17:53 作者: Stricture 時間: 2025-3-28 21:47 作者: 楓樹 時間: 2025-3-29 00:56 作者: Acumen 時間: 2025-3-29 06:08 作者: genuine 時間: 2025-3-29 08:05
Approximate learning of random subsequential transducers,efined and used to bound the maximum length of samples which are going to form representative sets for target STs. From these representative sets, the sample density required to obtain good approximate STs has been investigated. Dependency of the sample density on the number of states and on the acc作者: Functional 時間: 2025-3-29 14:52 作者: Brittle 時間: 2025-3-29 19:09
Learning a deterministic finite automaton with a recurrent neural network,rk with a set of sentences in a language and extract a finite automaton by clustering the states of the trained network. We observe that the generalizations beyond the training set, in the language recognized by the extracted automaton, are due to the training regime: the network performs a “l(fā)oose” 作者: happiness 時間: 2025-3-29 22:06
Real language learning,elieves that children learn the grammar of their native language independent of meaning (semantics) and use (pragmatics). Recent results suggest that is now possible, although still very difficult, to build computational and formal models of how children learn language. This paper will review some r作者: 一夫一妻制 時間: 2025-3-30 01:16
A stochastic search approach to grammar induction,nduction. This last work has been inspired by the Abbadingo DFA learning competition [14] which took place between Mars and November 1997. SAGE ended up as one of the two winners in that competition. The second winning algorithm, first proposed by Rodney Price, implements a new evidence-driven heuri作者: 壓倒性勝利 時間: 2025-3-30 04:53 作者: Admire 時間: 2025-3-30 11:11
Locally threshold testable languages in strict sense: Application to the inference problem,in strict sense (.) and is included in the family of locally threshold testable languages (.). Membership of a word to a . language can be decided by means of local scanning, using a sliding window of a fixed length ., although in this case, we have to care that the number of occurrences of certain 作者: Cervical-Spine 時間: 2025-3-30 15:43 作者: cultivated 時間: 2025-3-30 19:56 作者: 混合物 時間: 2025-3-30 22:31 作者: cloture 時間: 2025-3-31 02:10 作者: Peristalsis 時間: 2025-3-31 06:01
Learning regular grammars to model musical style: Comparing different coding schemes, The interest in modeling musical style resides in the use of these models in applications, such as Automatic Composition and Automatic Musical Style Recognition. We have studied three GI Algorithms, which have been previously applied successfully in other fields. In this work, these algorithms have作者: 違抗 時間: 2025-3-31 11:47 作者: 健談 時間: 2025-3-31 17:07
Control of Membrane Fluidity in ,n the concept class of all pattern languages. The transformation of learning in the limit into stochastically finite learning with high confidence is achieved by first analyzing the Lange-Wiehagen [7] algorithm with respect to its average-case time behavior until convergence. This algorithm learns t作者: 清洗 時間: 2025-3-31 19:51 作者: 是他笨 時間: 2025-4-1 00:22 作者: magnanimity 時間: 2025-4-1 02:06
The Anatomy of Biological Interfaces identifies in the limit any total subsequential function. It has been applied over a wide number of machine translation problems with great success. Incorporating the suggestions made in De la Higuera, Vidal and Oncina [dOV96] for automata inference, the DD-OSTIA (Data Driven OSTIA) is presented he作者: eulogize 時間: 2025-4-1 08:30 作者: CHANT 時間: 2025-4-1 12:17
Jonathan A. N. Fisher,Brian M. Salzbergtic finite automata (sdfa). We deal with the situation arising when wanting to learn sdfa from unrepeated examples. This is intended to model the situation where the data is not generated automatically, but in an order dependent of its probability, as would be the case with the data presented by a h作者: 口訣法 時間: 2025-4-1 16:47
Transmembrane Calcium Fluxes and Cell Deathrk with a set of sentences in a language and extract a finite automaton by clustering the states of the trained network. We observe that the generalizations beyond the training set, in the language recognized by the extracted automaton, are due to the training regime: the network performs a “l(fā)oose” 作者: 桶去微染 時間: 2025-4-1 20:37 作者: 豐滿中國 時間: 2025-4-2 01:41
Angelo Azzi,Lanfranco Masotti,Arnaldo Veclinduction. This last work has been inspired by the Abbadingo DFA learning competition [14] which took place between Mars and November 1997. SAGE ended up as one of the two winners in that competition. The second winning algorithm, first proposed by Rodney Price, implements a new evidence-driven heuri作者: 無效 時間: 2025-4-2 03:17
Aline Le Roy,Cécile Breyton,Christine Ebelamples have been developed. Language Understanding can be approached this way as a problem of language . in which the target language is a . language rather than a natural one. Finite-state transducers are used to model the translation process, and are automatically learned from training data consis作者: alcoholism 時間: 2025-4-2 08:55
